grains.analysis.label_image_apply_mask

grains.analysis.label_image_apply_mask(label_image, mask, value)

Changes parts of a labeled image to a given value.

Convenience function, equivalent to label_image[mask] = value but the original array label_image is not overwritten.

Parameters

• label_image (ndarray) – Labeled input image, represented as a 2D numpy array of positive integers.

• mask (ndarray) – Boolean array of the same size as label_image, marking the pixels that will be replaced by value.

• value (int) – The masked pixels are replaced by this value.

Returns

ndarray – Copy of the input image, its selected pixels being replaced by the given value.